





import os
from typing import List, Optional, Union

from ...tokenization_utils import PreTrainedTokenizer
from ...tokenization_utils_base import AddedToken
from ...utils import logging


lowercase :			List[str]     		=    logging.get_logger(__name__)

lowercase :			Union[str, Any]     		=    {"""vocab_file""": """vocab.txt"""}

lowercase :			Union[str, Any]     		=    {
    """vocab_file""": {
        """facebook/esm2_t6_8M_UR50D""": """https://huggingface.co/facebook/esm2_t6_8M_UR50D/resolve/main/vocab.txt""",
        """facebook/esm2_t12_35M_UR50D""": """https://huggingface.co/facebook/esm2_t12_35M_UR50D/resolve/main/vocab.txt""",
    },
}

lowercase :			Optional[Any]     		=    {
    """facebook/esm2_t6_8M_UR50D""": 1_0_2_4,
    """facebook/esm2_t12_35M_UR50D""": 1_0_2_4,
}



def A_      (						A__							)    ->						int:




       with open(lowercase_						, 'r'							) as f:
              a__		:      List[str]					=							f.read().splitlines()
              return [l.strip() for l in lines]





class 					A__       (				__A      ):




   """simple docstring"""



   __A  :							Union[str, Any]			    =    VOCAB_FILES_NAMES
   __A  :							List[str]			    =    PRETRAINED_VOCAB_FILES_MAP
   __A  :							List[Any]			    =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __A  :							Any			    =    ['''input_ids''', '''attention_mask''']

   def __init__(   self   ,    lowercase   ,    lowercase="<unk>"   ,    lowercase="<cls>"   ,    lowercase="<pad>"   ,    lowercase="<mask>"   ,    lowercase="<eos>"   ,    **lowercase   ,    )     ->		List[Any]:







          '''simple docstring'''

          super().__init__(**UpperCamelCase__)
          a__		:      Tuple					=							load_vocab_file(UpperCamelCase__)
          a__		:      Tuple					=							dict(enumerate(self.all_tokens))
          a__		:      Optional[Any]					=							{tok: ind for ind, tok in enumerate(self.all_tokens)}
          a__		:      List[str]					=							unk_token
          a__		:      Dict					=							cls_token
          a__		:      List[Any]					=							pad_token
          a__		:      Optional[Any]					=							mask_token
          a__		:      int					=							eos_token
          a__		:      List[str]					=							self.all_tokens
          self._create_trie(self.unique_no_split_tokens)

   def 				__lowercase						(   self   ,    lowercase)     ->		List[str]:







          '''simple docstring'''

          return self._id_to_token.get(UpperCamelCase__   ,    self.unk_token)

   def 				__lowercase						(   self   ,    lowercase)     ->		int:







          '''simple docstring'''

          return self._token_to_id.get(UpperCamelCase__   ,    self._token_to_id.get(self.unk_token))

   def 				__lowercase						(   self   ,    lowercase   ,    **lowercase)     ->		List[str]:







          '''simple docstring'''

          return text.split()

   def 				__lowercase						(   self   ,    lowercase=False)     ->		Optional[Any]:







          '''simple docstring'''

          return len(self._id_to_token)

   def 				__lowercase						(   self)     ->		Optional[int]:







          '''simple docstring'''

          return {token: i for i, token in enumerate(self.all_tokens)}

   def 				__lowercase						(   self   ,    lowercase)     ->		Tuple:







          '''simple docstring'''

          return self._token_to_id.get(UpperCamelCase__   ,    self._token_to_id.get(self.unk_token))

   def 				__lowercase						(   self   ,    lowercase)     ->		str:







          '''simple docstring'''

          return self._id_to_token.get(UpperCamelCase__   ,    self.unk_token)

   def 				__lowercase						(   self   ,    lowercase   ,    lowercase = None)     ->		Dict:







          '''simple docstring'''

          a__		:      List[str]					=							[self.cls_token_id]
          a__		:      Dict					=							[self.eos_token_id]  # No sep token in ESM vocabulary
          if token_ids_a is None:
                 if self.eos_token_id is None:
                        return cls + token_ids_a
                 else:
                        return cls + token_ids_a + sep
          elif self.eos_token_id is None:
                 raise ValueError('Cannot tokenize multiple sequences when EOS token is not set!')
          return cls + token_ids_a + sep + token_ids_a + sep  # Multiple inputs always have an EOS token

   def 				__lowercase						(   self   ,    lowercase   ,    lowercase = None   ,    lowercase = False)     ->		List[str]:







          '''simple docstring'''

          if already_has_special_tokens:
                 if token_ids_a is not None:
                        raise ValueError(
                            'You should not supply a second sequence if the provided sequence of '
                            'ids is already formatted with special tokens for the model.')

                 return [1 if token in self.all_special_ids else 0 for token in token_ids_a]
          a__		:      Tuple					=							[1] + ([0] * len(UpperCamelCase__)) + [1]
          if token_ids_a is not None:
                 mask += [0] * len(UpperCamelCase__) + [1]
          return mask

   def 				__lowercase						(   self   ,    lowercase   ,    lowercase)     ->		Optional[Any]:







          '''simple docstring'''

          a__		:      Union[str, Any]					=							os.path.join(UpperCamelCase__   ,    (filename_prefix + '-' if filename_prefix else '') + 'vocab.txt')
          with open(UpperCamelCase__   ,    'w') as f:
                 f.write('\n'.join(self.all_tokens))
          return (vocab_file,)

   @property
   def 				__lowercase						(   self)     ->		Tuple:







          '''simple docstring'''

          return self.get_vocab_size(with_added_tokens=UpperCamelCase__)

   def 				__lowercase						(   self   ,    lowercase   ,    lowercase = False)     ->		Optional[Any]:







          '''simple docstring'''

          return super()._add_tokens(UpperCamelCase__   ,    special_tokens=UpperCamelCase__)










'''simple docstring'''







import cmath
import math


def       __UpperCamelCase					(      lowercase_       :  float   ,       lowercase_       :  float   ,       lowercase_       :  float   ,       lowercase_       :  float   ):
       """simple docstring"""




       a_						     =			math.radians(lowercase_   )
       a_						     =			math.radians(lowercase_   )

       # Convert voltage and current to rectangular form
       a_						     =			cmath.rect(lowercase_   ,       lowercase_   )
       a_						     =			cmath.rect(lowercase_   ,       lowercase_   )

       # Calculate apparent power
       return voltage_rect * current_rect


if __name__ == "__main__":
  import doctest

  doctest.testmod()




